Job Description
Shape the Future of Technology
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to lead our next generation of intelligent systems. We are building the infrastructure that will power the future of autonomous operations and predictive analytics.
As a key member of our elite R&D team, you will bridge the gap between theoretical machine learning breakthroughs and scalable production environments. We don't just predict the future; we engineer it. Join us to work on cutting-edge projects that will define the AI standards for the coming decade.
Why Join Us?
- Work with state-of-the-art Generative AI and Large Language Models.
- Competitive equity and comprehensive benefits package.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Model Development: Design, train, and deploy advanced machine learning models focused on predictive analytics, natural language processing, and computer vision.
- Production Optimization: Collaborate with MLOps engineers to ensure models are scalable, performant, and reliable in high-traffic environments.
- Strategic Innovation: Conduct research into emerging AI trends to prepare our roadmap for the 2026 technological landscape.
- Code Quality: Write clean, maintainable, and well-documented code following industry best practices.
- Collaboration: Partner with product managers and engineers to translate complex business requirements into robust AI solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent professional experience.
- Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Experience: Proven track record of building and deploying end-to-end ML pipelines in cloud environments (AWS, GCP, or Azure).
- Specialization: Deep experience with Generative AI, LLMs, or Reinforcement Learning.
- Soft Skills: Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.